LES PRINCIPES DE BASE DE DEEP LEARNING

Les principes de base de Deep learning

Supervised learning algorithms are trained using labeled examples, such as année input where the desired output is known. Conscience example, a piece of equipment could have data abscisse labeled either “F” (failed) pépite “R” (runs). The learning algorithm receives a dessus of inputs along with the corresponding décent outputs, and the

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